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Because the decision maker has three preferable levels to their decision. They are "completely satisfactory", "completely negative" and "uncertainly satisfactory". Then the "certain-uncertain" system for the decision-making space is formed. Firstly, this paper builds up the IDO connection degree of decision-making expression based on set pair analysis; secondly,...
Rough neural network has the advantage of reducing training time and optimizing network topology architecture. According to such attribute, a novel face recognition method is presented based on multi-features using fusion of multiple rough neural network classifiers. First, three different feature domains are used for extracting features from input images, including IO (the interest operator), PCA...
Multisensor information plays an important pole in the target recognition and other application fields. Fusion performance is tightly depended on the fusion level selected and the approach used. Feature level fusion is a potential and difficult fusion level. Bayesian fusion method is an important theory in feature level. A new method is presented to fuse infrared images and recognize object in the...
This paper proposes a new definition of reduction in rough sets, which follows naturally from the concepts of the degree of similarity and the degree of inconsistency. The new definition is compared to the classical definitions-the definition in algebra view and definition in information view, and is shown to be more general
This paper describes an assessment of urban sustainability based on a fuzzy analytic hierarchy process approach. An empirical research is explored in the city of Shijiazhuang, northeast of China. The assessment results show that sustainable city development in Shijiazhuang in recent years evolves to a much higher level as a whole, and it has reached the medium-level sustainable development in 2003...
Because of decision makers having limited attention spans and information processing capabilities, as well as some decision alternatives being incomparable, decision makers may develop incomplete preference relations in which some elements cannot be provided. The method proposed by Herrera et al. devises a consistent preference relation that is restricted by the set of n-1 values {p12, p 23, ...,...
This paper presents a research method of parallel decision analyzing for complex system of systems, which aims at some problems of complex decision-making such as uncertainty, dynamic, decision maker embarrassment in the face of mass information, and so on. By richly using tasks allocating model of three-phase mission decomposing, which composes of goal decomposing, function decomposing and action...
In this paper, the method of conflict analysis based on rough set is applied to investigate the satisfactions of the optimized decision of the water resources allocation in the inland river basin of arid regions. Analyzing the support of the decision for the special districts (e.g., upriver, middle-river and downriver), respectively, in the inland river basin of arid regions, the feasibility of an...
The induced ordered weighted averaging (IOWA) operator takes as its argument pairs, called OWA pairs, in which one component is used to induce an ordering over the second components which are exact numerical values and then aggregated. In this paper, we develop an extended IOWA (EIOWA) operator, in which the second components are linguistic variables, and develop an extended OWA (EOWA) operator, which...
On the characteristics of multi-source, heterogenous structure, mass data of WebGIS as well as the complexity of the system, the paper proposes the design model of the manager-agents based on Web and multi-agent. Moreover, through analyzing the characteristics of WebGIS, the paper makes a further research on model of the manager-agents. It puts the emphasis on the decision-module of the manager-agent,...
In Pawlak's rough set system, approximation quality can be used to measure the classification capability of a condition attribute and can be used to define the significance of condition attributes. But the measure only gives us the determinate classification capability, and does not give us the uncertain classification capability. The information entropy is a mean value in terms of probability that...
The Bahncard problem is a generalization of the Ski-Rental problem. Previous research approaches on the Bahncard problem have mostly focused on the "pure" competitive analysis that "deliberately" ignores all available information. Fleischer presented a deterministic (2-beta)-competitive online algorithm and showed that this is the best competitiveness of a deterministic strategy...
Recently, in the area of pattern recognition, the concept of combining multiple support vector machines (SVMs) has been proposed as a new direction to improve classification performance. However, current commonly used SVMs aggregation strategies do not evaluate the importance of degree of the output of individual component SVM classifier to the final decision. A method for multiple SVMs combination...
In this paper, we present an approach for partner selection of virtual enterprise. Firstly, we describe calculation method of evaluation index's weight coefficients by fuzzy decision model and sets up target function. Secondly, we develop a fuzzy decision embedded Elitist preserved genetic algorithm to find the solution for partner selection. In the process of partner selection, truncation selection...
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